创建了一个RNN LSTM模型，该模型预测了体育、娱乐、政治等新闻文章的类别。还使用了词干化、柠檬化和关键词删除的概念。
Created a RNN LSTM model which predicts the category of the news articles be it sports, entertainment, politics etc. The concept of Stemming, Lemmatization and stopword removal were used as well. (2024-02-19, Jupyter Notebook, 0KB, 下载0次)
在cacm和CS276（斯坦福大学）集合上实现搜索引擎。
Implementation of a search engine on the cacm and CS276 (Stanford) collections. (2019-08-17, Jupyter Notebook, 34136KB, 下载0次)